Trouble with nosql_dbs
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Trouble with nosql_dbs

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Trouble with nosql_dbs Trouble with nosql_dbs Presentation Transcript

  • Iran Hutchinson
  •  I work for InterSystems who drives the new http://globalsdb.org NoSQL project. Email: iran.hutchinson@intersystems.com Twitter: #iranic Skype: chatwithiran
  •  … NoSQL Databases  Understanding what they are  Understanding how to leverage their strengths  Understanding their weaknesses  Staying away from hype and religious wars  Fighting your developer demon
  •  Edgar Frank “Ted” Codd Known for 12 Rules (0 ~ 12) for Relational Data Systems
  •  Rule 1: The information Rule  All information is represented in 1 and only 1 way, namely by values in column positions within rows of tables Rule 12: The no subversion Rule  If the system provides a low-level (record-at-a- time) interface, then that interface cannot be used to subvert the system i.e. relational security or integrity constraints.
  •  Simple APIs  Java Example: Document.save(myObject) Seamless language integration  No impedance mismatch Designed to be horizontally scalable (elastic) Flexible data model Majority free and/or Open Source Free and Commercial production support
  •  Proven Available talent / Well-known AD-Hoc querying Scalable (limits?) Free and Commercial production support
  •  Interface for data access Limited horizontal scalability? Impedance mismatches Programming model In-flexible data model
  •  Does not include the underlying data structure. B-tree and B+-trees can be fast and efficient The relational model + SQL can limit B-trees
  •  Class of data management systems inherently  Non-relational  Distributed  Horizontally scalable  With optional schemas  Providing simple APIs Term Not-Only-SQL recently embraced Dave Kellog’s Blog Post
  •  No to ACID No to the impedance mismatch with SQL Dealing with Big Data and Web Scale High prices from RDBMS vendors Use commodity hardware Flexible data models It’s a cool movement ….
  •  No Remember MUMPS?  SET ^Car("Door","Color")="BLUE” Remember Multi-value/PICK  MATWRITE array.variable ON file.variable,id. …. Ever heard of the NoSQL RDB?
  •  This depends on your use case. Example  http://www.mongodb.org/display/DOCS/Use+Cas es Compare your problems to others. Example:  http://wiki.apache.org/hadoop/PoweredBy
  •  http://nosql-database.org/ lists 122 today. Depends on your model selection. Most likely choose well-known project. Don’t forget about shared risk!
  •  Some solutions have no querying When available query languages differ Lack of general AD-Hoc querying – “no” SQL NOTE: Toad for Cloud
  •  Skills Data Model Data format Tools Standards?
  •  Some databases are not as proven Incomplete NoSQL solutions  You write a larger data management tier  You maintain your business code and infrastructure code  You have to customize management and deployment technology and procedures
  •  Know your application Don’t forget the past lessons Consider a hybrid approach Fight the desire to Roll-Your-Own-DB Start small but significant
  •  Two Systems  NoSQL + SQL/RDBMS Updates  Real-time  Asynchronous or Batch Data SQL/RDB NoSQL Mapper / MS Translato r
  •  One system does both NoSQL and SQL
  •  InterSystems Caché supports SQL and NoSQL Production NoSQL for 20+ years APIs for .NET, Java, Perl, Python, etc. Expanding paradigms for more use cases. Comes the closest to approach 2
  •  Core of InterSystems Caché Free for development and production Simple APIs Java and JavaScript http://globalsdb.org Sponsored by InterSystems
  •  Over time I think we will see  NoSQL features in mainstream databases  NoSQL offerings by more commercial companies  Dominant open source / free NoSQL projects  New definitions of enterprise databases
  •  Hadoop/Hbase Cassandra MongoDB CouchDB Riak Couchbase Neo4J
  •  InterSystems Caché SimpleDB Azure Table Storage Google App Engine Data Storage Mark Logic Server Infinite Graph Riak (has open source version) Berkely DB